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Authorship Attribution

Authorship attribution, also known as authorship identification, aims to attribute a previously unseen text of unknown authorship to one of a set of known authors.

Papers

Showing 2650 of 212 papers

TitleStatusHype
Assessing the Stylistic Properties of Neurally Generated Text in Authorship Attribution0
An Image Analysis Approach to the Calligraphy of Books0
A Supervised Authorship Attribution Framework for Bengali Language0
Attribution and Obfuscation of Neural Text Authorship: A Data Mining Perspective0
A Unified Evaluation Framework for Novelty Detection and Accommodation in NLP with an Instantiation in Authorship Attribution0
A Bayesian Approach to Harnessing the Power of LLMs in Authorship Attribution0
Automated Attribution and Intertextual Analysis0
Generative Artificial Intelligence for Academic Research: Evidence from Guidance Issued for Researchers by Higher Education Institutions in the United States0
Authorship attribution for Differences between Literary Texts by Bilingual Russian-French and Non-Bilingual French Authors0
Authorship Attribution By Consensus Among Multiple Features0
Analyzing Stylistic Variation across Different Political Regimes0
Authorship Attribution for Neural Text Generation0
A comparison of latent semantic analysis and correspondence analysis of document-term matrices0
Authorship Attribution in Bangla Literature (AABL) via Transfer Learning using ULMFiT0
Authorship Attribution in Bengali Language0
Authorship Attribution in Health Forums0
Authorship Attribution of Micro-Messages0
An Off-the-shelf Approach to Authorship Attribution0
Authorship Attribution through Function Word Adjacency Networks0
Approximating Style by N-gram-based Annotation0
Authorship Attribution with Convolutional Neural Networks and POS-Eliding0
Authorship attribution via network motifs identification0
Authorship Attribution Based on Life-Like Network Automata0
Authorship Attribution Using Word Network Features0
Authorship Attribution and Author Profiling of Lithuanian Literary Texts0
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